FAST & FURIOUS: DETECTING STRESS WITH A CAR STEERING WHEEL

Paredes, P., Ordoñez, F., Ju, W., Landay, J., Fast And Furious – Detecting Stress with a Car Steering Wheel, ACM Conference on Human Factors in Computing Systems (CHI 2018), Montreal, Canada, 2018.

Peer reviewed, Full Article. Average acceptance rate: 25.8%

https://doi.org/10.1145/3173574.3174239

ABSTRACT

Stress affects the lives of millions of people every day. In-situ sensing could enable just-in-time stress management inter- ventions. We present the first work to detect stress using the movements of a car’s existing steering wheel. We extend prior work on PC peripherals and demonstrate that stress, expressed through muscle tension in the limbs, can be measured through the way we drive a car. We collected data in a driving simulator under controlled circumstances to vary the levels of induced stress, within subjects. We analyze angular displacement data to estimate coefficients related to muscle tension using an in- verse filtering technique. We prove that the damped frequency of a mass spring damper model representing the arm is signifi- cantly higher during stress. Stress can be detected with only a few turns during driving. We validate these measures against a known stressor and calibrate our sensor against known stress measurements.

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